Machine Learning Techniques for Enhancing Security in Wireless Communication Systems
S. Surya, Rajshri Trimbak Ingle, Megha Saxena, Jaipal Reddy Poddutoori, Budesh Kanwer, Dhiraj Kapila · 2025
Web of Things or IoT frameworks rely upon wireless communication systems or WCS to accumulate and send measurements, their norm of execution is in danger from security assaults. In IoT frameworks, the Steering Conventions that can be routing protocols for Lower-Power (RPL) and Misfortune Systems administration are fundamental for successful measurements move; in any case, attacks can seriously disable usefulness. Utilizing the change of steering insights, traffic fascination through maverick focuses, and information passages to destructive places, these weaknesses compromise the legitimacy of organizations. To work on RPL's security and execution quality, this examination proposes a progressive AI and ML framework. This strategy joins a support learning calculation for adaptable and versatile highways, an irregular timberland framework for exact traffic classification, and modified RPL goals that consider order results while pursuing directing decisions. Displaying shows that this approach keeps up with negligible jitter while accomplishing extensive enhancements in bundle dispersion extents, network speed, and deferral. Also, it further develops execution quality in IoT-based WCS and solidly gets the RPL convention by accomplishing an extraordinary acknowledgment rate, scarcely any misleading up-sides, and speedy responses to somewhere safe occasions. The study's conclusions provide significant additions to the area and give a thorough way to safeguard RPL against common safety risks